We are making financial analysis faster, accessible, intuitive and beautiful through our partnerships with Goldman Sachs and CNBC. We're small, hungry, and have hoppity-hops in the office. To get our attention, share a project with us that shows:
Software Engineers:
UI, infrastructure or SRE specialists. Inside tip: High velocity problem-solving and coding are essential.
Machine Learning Engineers:
Advanced machine learning, NLP or modeling techniques at scale. Notable research and data science experience expected. Inside tip: Demonstrate multiple years of data science research, ability to explain nuances of sophisticated models and excellent ability to optimize.
UI Designers:
Your portfolio of data visualizations, workflows or UI designs. Inside tip: Make data beautiful, intuitive and informative.
Hiring process:
We're a small team who will interview very few candidates. We start with looking at the source for projects mentioned in your resume and/or cover letter. Then, depending on you, the role, and the projects you shared, we'll talk to you via phone/hang out/in person (if local). We'll likely do some live coding or design presentation, ideally on your computer, extending something you have created. We also have take-home challenges if you don't have deep enough projects to share, or maybe interviews aren't your thing. Lastly we bring you to Cambridge to interview us in person and go more in depth. Again, please bring along something you are passionate about and that you'd like to extend and discuss.
We are making financial analysis faster, accessible, intuitive and beautiful through our partnerships with Goldman Sachs and CNBC. We're small, hungry, and have hoppity-hops in the office. To get our attention, share a project with us that shows:
Software Engineers:
UI, infrastructure or SRE specialists. Inside tip: High velocity problem-solving and coding are essential.
Machine Learning Engineers:
Advanced machine learning, NLP or modeling techniques at scale. Notable research and data science experience expected. Inside tip: Demonstrate multiple years of data science research, ability to explain nuances of sophisticated models and excellent ability to optimize.
UI Designers:
Your portfolio of data visualizations, workflows or UI designs. Inside tip: Make data beautiful, intuitive and informative.
Hiring process:
We're a small team who will interview very few candidates. We start with looking at the source for projects mentioned in your resume and/or cover letter. Then, depending on you, the role, and the projects you shared, we'll talk to you via phone/hang out/in person (if local). We'll likely do some live coding or design presentation, ideally on your computer, extending something you have created. We also have take-home challenges if you don't have deep enough projects to share, or maybe interviews aren't your thing. Lastly we bring you to Cambridge to interview us in person and go more in depth. Again, please bring along something you are passionate about and that you'd like to extend and discuss.
Our Stack:
Please say hello at https://www.kensho.com/#/careers